Qwen3.5 27B needs ~49.3 GB VRAM. AMD Instinct MI350X 288GB has 288.0 GB. With Q4_K_M quantization, expect ~355 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
354.6 tok/s
TTFT
546 ms
Safe context
1.2M
Memory
49.3 GB / 288.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 354.6 tok/s | 350 ms | 1.2M |
| Coding | C | Runs well | 354.6 tok/s | 546 ms | 1.2M |
| Agentic Coding | C | Runs well | 354.6 tok/s | 794 ms | 1.2M |
| Reasoning | C | Runs well | 354.6 tok/s | 645 ms | 1.2M |
| RAG | C | Runs well | 354.6 tok/s | 993 ms | 1.2M |
How Qwen3.5 27B (27B params) fits at each quantization level on AMD Instinct MI350X 288GB (288.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 10.5 GB | Low | D36 |
Q3_K_S | 3 | 13.2 GB | Low | D37 |
NVFP4 | 4 |
Copy-paste commands to run Qwen3.5 27B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "unsloth/Qwen3.5-27B-GGUF" \
--hf-file "Qwen3.5-27B-GGUF-Q4_K_M.gguf" \
-c 4096 -ngl 99Yes, AMD Instinct MI350X 288GB can run Qwen3.5 27B with a C grade (Runs well). Expected decode speed: 354.6 tok/s.
Qwen3.5 27B (27B parameters) requires approximately 49.3 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen3.5 27B is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI350X 288GB, Qwen3.5 27B achieves approximately 354.6 tokens per second decode speed with a time-to-first-token of 546ms using Q4_K_M quantization.
For coding workloads, Qwen3.5 27B on AMD Instinct MI350X 288GB receives a C grade with 354.6 tok/s and 1.2M context.
On AMD Instinct MI350X 288GB, Qwen3.5 27B can safely use up to 1.2M tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/hf-unsloth--qwen3-5-27b-gguf-on-instinct-mi350x-288gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
15.1 GB |
| Medium |
| D37 |
Q4_K_M | 4 | 16.5 GB | Medium | D37 |
Q5_K_M | 5 | 19.4 GB | High | D37 |
Q6_K | 6 | 22.1 GB | High | D37 |
Q8_0 | 8 | 28.9 GB | Very High | D38 |
F16Best for your GPU | 16 | 55.4 GB | Maximum | D40 |